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Metabolic mass spectrum screening method and system based on the deep learning

A deep learning, deep learning network technology, applied in neural learning methods, informatics, medical informatics, etc., can solve problems such as high time and cost, low accuracy, and complex process

Inactive Publication Date: 2016-06-29
SHENZHEN UNIV +4
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Problems solved by technology

[0010] In view of the above-mentioned deficiencies in the prior art, the purpose of the present invention is to provide a method and system for screening metabolic mass spectrometry based on deep learning, aiming to solve the problem of complex process, low accuracy, high time and cost of existing metabolic mass spectrometry detection methods. question

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  • Metabolic mass spectrum screening method and system based on the deep learning
  • Metabolic mass spectrum screening method and system based on the deep learning
  • Metabolic mass spectrum screening method and system based on the deep learning

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[0111] The present invention provides a metabolic mass spectrometry screening method and system based on deep learning. In order to make the purpose, technical solution and effect of the present invention clearer and clearer, the present invention will be further described in detail below. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0112] see image 3 , image 3 It is a flow chart of a preferred embodiment of a metabolic mass spectrometry screening method based on deep learning in the present invention, as shown in the figure, which includes steps:

[0113] 1), obtain the training sample data set S={S 1 ,S 2 ,…S n ,...,S N}, where any mass spectrum S n =[(m 1 ,i 1 ),(m 2 ,i 2 ),…(m d ,i d ),…], m d and i d are respectively the mass-to-nucleus ratio and the intensity value of the d spectral line; the class label vector corresponding to the training sampl...

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Abstract

The invention discloses a metabolic mass spectrum screening method and system based on the deep learning.On the basis of an existing metabolic mass spectrum database, metabolic mass spectrum samples of a specific category (such as disease) are extracted and combined and used for training a deep learning network, and the method and system can be used for judging various category states at the same time.The network is used for actually-input metabolic mass spectrum screening.

Description

technical field [0001] The present invention relates to the field of metabolic mass spectrometry screening, in particular to a method and system for metabolic mass spectrometry screening based on deep learning. Background technique [0002] Metabolites are the general term for small molecular organic compounds that complete metabolic processes in organisms, and contain rich physiological state information. Based on the overall systematic study of metabolites, metabolomics can effectively reveal the real mechanism behind physiological phenomena and more comprehensively display the dynamic state of living organisms. Therefore, it has received more and more attention and has been widely used in many scientific research and practical fields. Mass spectrometry (Mass Spectrometry, MS) is one of the most important research tools in metabolomics, which can effectively identify different metabolites and accurately measure their relative concentrations. The data forms are as follows:...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G06N3/08
CPCG16H50/20G06N3/08G06N3/084G06N3/048G06N3/045G06N3/04
Inventor 纪震周家锐殷夫朱泽轩
Owner SHENZHEN UNIV
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